VSA-based fractal image compression

Wang, H; Wang, M; Hintz, T; Wu, Q; He, X

VSA-based fractal image compression

Wang, H Wang, M Hintz, T Wu, Q

He, X

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Publication Type:: Journal Article
Citation:: 13th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2005, WSCG'2005 - In Co-operation with EUROGRAPHICS, Full Papers, 2005, pp. 89 - 96
Issue Date:: 2005-12-01

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Field	Value	Language
dc.contributor.author	Wang, H	en_US
dc.contributor.author	Wang, M	en_US
dc.contributor.author	Hintz, T	en_US
dc.contributor.author	Wu, Q https://orcid.org/0000-0001-5641-2483	en_US
dc.contributor.author	He, X https://orcid.org/0000-0001-8962-540X	en_US
dc.date.issued	2005-12-01	en_US
dc.identifier.citation	13th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2005, WSCG'2005 - In Co-operation with EUROGRAPHICS, Full Papers, 2005, pp. 89 - 96	en_US
dc.identifier.isbn	9788090310070	en_US
dc.identifier.uri	http://hdl.handle.net/10453/5743
dc.description.abstract	Spiral Architecture (SA) is a novel image structure which has hexagons but not squares as the basic elements. Apart from many other advantages in image processing, SA has shown two unbeatable characters that have potential to improve image compression performance, namely, Locality of Pixel Density and Uniform Image Partitioning. Fractal image compression is a relatively recent image compression method which exploits similarities in different parts of the image. The basic idea is to represent an image as fixed points of Iterated Function Systems (IFS). Therefore, an input image can be represented by a series of IFS codes rather than pixels. In this way, an amazing compression ratio 10000:1 can be achieved. The application of fractal image compression presented in this paper is based on Spiral Architecture. Since there is no mature capture and display device for hexagon-based images, the experiments are implemented on a newly proposed mimic scheme, called Virtual Spiral Architecture (VSA). The experimental results in the paper have shown that introducing Spiral Architecture into fractal image compression will improve the compression performance in image quality with little trade-off in compression ratio. A lot of research work exists in this area to further improve the results. Copyright UNION Agency - Science Press.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP0451666
dc.relation.ispartof	13th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2005, WSCG'2005 - In Co-operation with EUROGRAPHICS, Full Papers	en_US
dc.title	VSA-based fractal image compression	en_US
dc.type	Journal Article
utslib.for	080106 Image Processing	en_US
utslib.for	080499 Data Format not elsewhere classified	en_US
utslib.for	080401 Coding and Information Theory	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Systems, Management and Leadership
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

Spiral Architecture (SA) is a novel image structure which has hexagons but not squares as the basic elements. Apart from many other advantages in image processing, SA has shown two unbeatable characters that have potential to improve image compression performance, namely, Locality of Pixel Density and Uniform Image Partitioning. Fractal image compression is a relatively recent image compression method which exploits similarities in different parts of the image. The basic idea is to represent an image as fixed points of Iterated Function Systems (IFS). Therefore, an input image can be represented by a series of IFS codes rather than pixels. In this way, an amazing compression ratio 10000:1 can be achieved. The application of fractal image compression presented in this paper is based on Spiral Architecture. Since there is no mature capture and display device for hexagon-based images, the experiments are implemented on a newly proposed mimic scheme, called Virtual Spiral Architecture (VSA). The experimental results in the paper have shown that introducing Spiral Architecture into fractal image compression will improve the compression performance in image quality with little trade-off in compression ratio. A lot of research work exists in this area to further improve the results. Copyright UNION Agency - Science Press.

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http://hdl.handle.net/10453/5743